Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues. - Test2 - elhamkhani - TriplyDB

Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues.

Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues.

http://www.wikidata.org/entity/Q30901756

about

Technical advances in proteomics: new developments in data-independent acquisition Applications of targeted proteomics in systems biology and translational medicine Advances in targeted proteomics and applications to biomedical research Quantification of SAHA-Dependent Changes in Histone Modifications Using Data-Independent Acquisition Mass Spectrometry Advancing Urinary Protein Biomarker Discovery by Data-Independent Acquisition on a Quadrupole-Orbitrap Mass Spectrometer Reproducible quantitative proteotype data matrices for systems biology.Systematic evaluation of data-independent acquisition for sensitive and reproducible proteomics-a prototype design for a single injection assay.High-precision iRT prediction in the targeted analysis of data-independent acquisition and its impact on identification and quantitation.Untargeted, spectral library-free analysis of data-independent acquisition proteomics data generated using Orbitrap mass spectrometers.SWATH-MS data of Drosophila melanogaster proteome dynamics during embryogenesis Generation of High-Quality SWATH® Acquisition Data for Label-free Quantitative Proteomics Studies Using TripleTOF® Mass Spectrometers.Automated SWATH Data Analysis Using Targeted Extraction of Ion Chromatograms.Mechanisms of acetaminophen hepatotoxicity and their translation to the human pathophysiology.Standardized Profiling of The Membrane-Enriched Proteome of Mouse Dorsal Root Ganglia (DRG) Provides Novel Insights Into Chronic Pain.Current state of the art for enhancing urine biomarker discovery.Comparative Proteomic Characterization of 4 Human Liver-Derived Single Cell Culture Models Reveals Significant Variation in the Capacity for Drug Disposition, Bioactivation, and Detoxication.SWATH-MS dataset of heat-shock treated Drosophila melanogaster embryos.Fuzzy-FishNET: a highly reproducible protein complex-based approach for feature selection in comparative proteomics SWATH-MS as a tool for biomarker discovery - from basic research to clinical applications.New targeted approaches for the quantification of data-independent acquisition mass spectrometry.Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques.ROTS: An R package for reproducibility-optimized statistical testing Analysis of Major Histocompatibility Complex (MHC) Immunopeptidomes Using Mass Spectrometry.SWATH Mass Spectrometry Performance Using Extended Peptide MS/MS Assay Libraries.A multicenter study benchmarks software tools for label-free proteome quantification.Exploring novel paths towards protein signatures of chronic pain Data Independent Acquisition of HLA Class I Peptidomes on the Q Exactive Mass Spectrometer Platform.Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry.Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses.Enhanced differential expression statistics for data-independent acquisition proteomics.pyQms enables universal and accurate quantification of mass spectrometry data.Quantitative proteomics: challenges and opportunities in basic and applied research.Identification of protein adduction using mass spectrometry: Protein adducts as biomarkers and predictors of toxicity mechanisms.A comprehensive evaluation of popular proteomics software workflows for label-free proteome quantification and imputation.Lipid peroxidation and tyrosine nitration in traumatic brain injury: Insights into secondary injury from redox proteomics.An IonStar Experimental Strategy for MS1 Ion Current-Based Quantification Using Ultrahigh-Field Orbitrap: Reproducible, In-Depth, and Accurate Protein Measurement in Large Cohorts.Tandem mass spectral libraries of peptides and their roles in proteomics research.DIA is not a new mass spectrometry acquisition method.A systematic evaluation of normalization methods in quantitative label-free proteomics.Organ-on-a-chip devices advance to market.

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P2860

Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues.

http://www.wikidata.org/entity/Q30901756

description

2015 nî lūn-bûn

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2015 թուականի Փետրուարին հրատարակուած գիտական յօդուած

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2015 թվականի փետրվարին հրատարակված գիտական հոդված

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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Extending the limits of quanti ...... imensional liver microtissues.

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Molecular & Cellular Proteomics

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Extending the limits of quanti ...... dimensional liver microtissues

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Claudia Escher

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Lin-Yang Cheng

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Lukas Reiter

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Oliver M Bernhardt

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Roland Bruderer

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Tejas Gandhi

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P2860

Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

Protein identification false discovery rates for very large proteomics data sets generated by tandem mass spectrometry

Reduced basal autophagy and impaired mitochondrial dynamics due to loss of Parkinson's disease-associated protein DJ-1

MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification

Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach

Skyline: an open source document editor for creating and analyzing targeted proteomics experiments

Multiplexed MS/MS for improved data-independent acquisition.

Maximizing peptide identification events in proteomic workflows using data-dependent acquisition (DDA).

Clustering and filtering tandem mass spectra acquired in data-independent mode.

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